Cited by
823 publications cite any version of this project or its primary paper, newest first.
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Transfer Learning Benchmark for Cardiovascular Disease Recognition
Mehrez Boulares, Tarik Alafif, Ahmed Barnawi. IEEE Access, 2020. Cites: paper -
Performance Analysis of Fetal-Phonocardiogram Signal Denoising Using The Discrete Wavelet Transform
Ipam Fuadina, Jans Hendry, Dodi Zulherman. JURNAL INFOTEL, 2019. Cites: paper -
Robust Heart Sound Segmentation and Detection using biased Cramer-Rao Lower Bound Estimation and Variance Algorithm
International Journal of Innovative Technology and Exploring Engineering, 2019. Cites: paper -
Follow the Sound of Children’s Heart: A Deep-Learning-Based Computer-Aided Pediatric CHDs Diagnosis System
Bin Xiao, Yunqiu Xu, Xiuli Bi et al. IEEE Internet of Things Journal, 2019. Cites: paper -
A Low-Noise-Level Heart Sound System Based on Novel Thorax-Integration Head Design and Wavelet Denoising Algorithm
Shuo Zhang, Ruiqing Zhang, Shijie Chang et al. Micromachines, 2019. Cites: paper -
An efficient heart sound segmentation approach using kurtosis and zero frequency filter features
Sumitra Shukla, Sachin Kumar Singh, Debjani Mitra. Biomedical Signal Processing and Control, 2019. Cites: paper -
Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers
Zaid Abduh, Ebrahim Ameen Nehary, Manal Abdel Wahed et al. Biomedical Signal Processing and Control, 2019. Cites: paper -
Deep Wavelets for Heart Sound Classification
Kun Qian, Zhao Xu Ren, Fengquan Dong et al. International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019. Cites: paper -
Heart Sound Analysis Based on Extended Features and Related Factors
Jianfei Chen, Xin Dang. IEEE Symposium Series on Computational Intelligence (SSCI), 2019. Cites: paper -
Using Neural Networks for Heart Sounds Classification: A Review
Ömer Deperlioğlu. International Journal of Scientific and Technological Research, 2019. Cites: paper -
Welcome Messages
International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019. Cites: paper -
Enhancement of the heart sound envelope using the logistic function amplitude moderation method
Alex Paul Kamson, Laxmi Narayan Sharma, Samarendra Dandapat. Computer Methods and Programs in Biomedicine, 2019. Cites: paper -
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus
Fengquan Dong, Kun Qian, Zhao Xu Ren et al. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper -
Intelligent methodologies for cardiac sound signals analysis and characterization in cepstrum and time‐scale domains
El‐Sayed A. El‐Dahshan, Mahmoud M. Bassiouni. Computational Intelligence, 2019. Cites: paper -
Sparsely Activated Networks: A new method for decomposing and compressing data
Paschalis A. Bizopoulos. arXiv (Cornell University), 2019. Cites: paper -
Heart Sound Segmentation Using Bidirectional LSTMs With Attention
Tharindu Fernando, Houman Ghaemmaghami, Simon Denman et al. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper -
A Novel Method for Automatic Heart Murmur Diagnosis Using Phonocardiogram
Wenjing Wei, Ge Zhan, Xun Wang et al. International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2019. Cites: paper -
Towards classifying non-segmented heart sound records using instantaneous frequency based features
Ali Mohammad Alqudah. Journal of Medical Engineering & Technology, 2019. Cites: paper -
Categorization of Normal and Abnormal Heart Rhythms from Phonocardiogram Signals
Sultan Aslan, Sami Arıca. Medical Technologies Congress (TIPTEKNO), 2019. Cites: paper -
Sports Science and Human Health - Different Approaches
Daniel Almeida Marinho, Henrique Pereira Neiva, Christopher P. Johnson et al. IntechOpen eBooks, 2019. Cites: paper -
Δίκτυα αραιής ενεργοποίησης
Πασχάλης Μπιζόπουλος. 2019. Cites: paper -
Identification of Normal and Abnormal Heart Sounds by Prominent Peak Analysis
M. G. Manisha Milani, Pg Emeroylariffion Abas, Liyanage C. De Silva. International Symposium on Signal Processing Systems (SSPS), 2019. Cites: paper -
Heart sound classification using the SNMFNet classifier
Wei Han, Shengli Xie, Zuyuan Yang et al. Physiological Measurement, 2019. Cites: paper -
An Open-Access ECG Database for Algorithm Evaluation of QRS Detection and Heart Rate Estimation
Hongxiang Gao, Chengyu Liu, Xingyao Wang et al. Journal of Medical Imaging and Health Informatics, 2019. Cites: paper -
Statistical feature embedding for heart sound classification
Mohammad Adiban, Bagher BabaAli, Saeedreza Shehnepoor. Journal of Electrical Engineering, 2019. Cites: paper -
HEART SOUND MODEL BASED ON CASCADED AND LOSSLESS ACOUSTIC TUBES
Kai Wang, Xiefeng Cheng, Yamin Chen et al. Journal of Mechanics in Medicine and Biology, 2019. Cites: paper -
Heart Sounds Classification for a Medical Diagnostic Assistance
Abdelhamid Bourouhou, Abdelilah Jilbab, Chafik Nacir et al. International Journal of Online and Biomedical Engineering (iJOE), 2019. Cites: paper -
A Modern Cardiac Monitoring System Based on Wireless Sensing for Human Health Care
Rosmy John, Sajith Vijayaraghavan, R. Pradeep. International Conference on Communication and Electronics Systems (ICCES), 2019. Cites: paper -
Improved Segmentation with Dynamic Threshold Adjustment for Phonocardiography Recordings
İbrahim Özkan, Atila Yılmaz, Gulsen Celebi. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper -
Using Soft Attention Mechanisms to Classify Heart Sounds
Jorge Oliveira, Diogo Marcelo Nogueira, Cleber Ramos et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper -
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification
Fuad M. Noman, Sh-Hussain Salleh, Chee-Ming Ting et al. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper -
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
Muhammad E. H. Chowdhury, Amith Abdullah Khandakar, Khawla Alzoubi et al. Sensors, 2019. Cites: paper -
Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking
Arijit Ukil, Antonio J. Jara, Leandro Marín. Sensors, 2019. Cites: paper -
Database for the interpretation of phonocardiograms
S. J. Granados, R. F. Tavera, L RT Hernández et al. Journal of Physics Conference Series, 2019. Cites: paper -
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
Bin Xiao, Yunqiu Xu, Xiuli Bi et al. Neurocomputing, 2019. Cites: paper -
Classification of Heart Sounds Based on the Wavelet Fractal and Twin Support Vector Machine
Jinghui Li, Li Ke, Qiang Du. Entropy, 2019. Cites: paper -
Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features
Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Elsa Ferreira Gomes et al. Journal of Medical Systems, 2019. Cites: paper -
Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks
Fuad M. Noman, Chee‐Ming Ting, Sh‐Hussain Salleh et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2019. Cites: paper -
Real-Time PCG Diagnosis Using FPGA
Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi et al. Advances in intelligent systems and computing, 2019. Cites: paper -
A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation
Jorge Oliveira, Francesco Renna, Miguel Tavares Coimbra. IEEE Journal of Selected Topics in Signal Processing, 2019. Cites: paper -
Supervised model for Cochleagram feature based fundamental heart sound identification
Sangita Das, Saurabh Pal, Madhuchhanda Mitra. Biomedical Signal Processing and Control, 2019. Cites: paper -
Segmantasyon yapmadan patolojik kalp sesi kayıtlarının tespiti için bir örüntü sınıflandırma algoritması
Abdulnasır Yildiz, Hasan Zan. DÜMF Mühendislik Dergisi, 2019. Cites: paper -
Classification of coronary artery diseased and normal subjects using multi-channel phonocardiogram signal
Pranab Samanta, Akanksha Pathak, Kayapanda Muthana Mandana et al. Journal of Applied Biomedicine, 2019. Cites: paper -
Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks
Serkan Kiranyaz B, Morteza Zabihi, Ali Bahrami Rad et al. arXiv (Cornell University), 2019. Cites: paper -
Synchronization control of pulsatile ventricular assist devices by combination usage of different physiological signals
Xinghui Li, Lunchao Zhong, Lin Luo et al. Computer Assisted Surgery, 2019. Cites: paper -
An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound
Camilo E. Valderrama, Lisa Stroux, Nasim Katebi et al. Physiological Measurement, 2019. Cites: paper -
Deep Convolutional Neural Networks for Heart Sound Segmentation
Francesco Renna, Jorge Oliveira, Miguel Tavares Coimbra. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper -
A Developed Design to Enlarge the Spectrum for Analog Electronic Stethoscope
Trinh Quang Duc, Nguyen Van Son, Nguyen Hoai Giang. Journal of Engineering Science and Technology Review, 2019. Cites: paper -
Dual-Input Neural Network Integrating Feature Extraction and Deep Learning for Coronary Artery Disease Detection Using Electrocardiogram and Phonocardiogram
Han Li, Xinpei Wang, Changchun Liu et al. IEEE Access, 2019. Cites: paper -
Heart Sounds Classification Using Images from Wavelet Transformation
Diogo Marcelo Nogueira, Mohammad Nozari Zarmehri, Carlos Abreu Ferreira et al. Lecture notes in computer science, 2019. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.